New AI tool aims to make airway management safer for laryngeal cancer patients
NCT ID NCT07324317
First seen Jun 25, 2026 · Last updated Jun 27, 2026 · Updated 1 time
Summary
This study tests a computer algorithm (EAP-LC) that uses CT scans to predict the best path for placing a breathing tube in laryngeal cancer patients. Researchers will compare the algorithm's predictions to actual tube placement videos from 70 patients. The goal is to see if the algorithm can provide a more objective and accurate way to plan airway management, but it does not change routine care.
What this could mean
Our plain-language read of the trial. This is informational only — not medical advice or a prediction.
- What this could lead to
- If successful, this algorithm could give doctors a reliable, objective tool to plan safer airway management for laryngeal cancer patients.
- What could go wrong
- This is a small, early-stage validation study (70 people) that does not change patient treatment. The algorithm may not match real-world conditions or improve outcomes.
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Conditions
The condition(s) this trial relates to.
As listed by the trial registrant
The condition terms exactly as the trial's registrant entered them.
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